Mitochondrial DNA phylogeography of lake cisco (<i>Coregonus artedi</i>): evidence supporting extensive secondary contacts between two glacial races
Bibliographic record
Abstract
The comparative molecular phylogeography of regional fish fauna has revealed the wide distribution of young clades in freshwater fishes of formerly glaciated areas as well as interspecific incongruences in their refugial origins and recolonization routes. In this study, we employed single-strand conformation polymorphism (SSCP) and sequence analyses to describe mitochondrial DNA (mtDNA) polymorphism among 27 populations of the lake cisco (Coregonus artedi) from its entire range of distribution in order to evaluate the hypothesis of dual glacial refuges proposed by Bernatchez & Dodson against the traditional view that this species is solely of Mississippian origin. Results indicate that this taxon is composed of two closely related groups that are widely distributed and intermixed over most of the sampled range. The estimated level of divergence (0.48%), the contrast in the geographical distribution of each group, as well as the general distribution of C. artedi in North America together support the hypothesis that one group dispersed from a Mississippian refuge via the proglacial lakes, while the other is of Atlantic origin and also took advantages of earlier dispersal routes towards eastern Hudson Bay drainages. However, the signal of past range fragmentation revealed by a nested clade analysis was weak, and did not allow to formally exclude the hypothesis of a single Mississippian origin for both lineages. Comparisons with the phylogeographic patterns of other Nearctic freshwater fishes suggest that the salinity tolerance and thermal sensitivity of lake cisco may have been determinant for its extensive postglacial dispersal. The presence or co-occurrence of sympatric or allopatric eco/morphotypes were not found to be necessarily associated with the presence of both haplotype groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".